Computer Vision
TransPixar: Advancing Text-to-Video Generation with Transparency
·2013 words·10 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Adobe Research
TransPixar: μ νλ λ°μ΄ν°λ‘λ κ³ νμ§ ν¬λͺ
λΉλμ€ μμ±
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation
·2799 words·14 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Meta
λ§μ€ν¬ κΈ°λ° λͺ¨μ
κ²½λ‘λ₯Ό μ΄μ©ν 2λ¨κ³ μ΄λ―Έμ§-λΉλμ€ μμ± νλ μμν¬μΈ THROUGH-THE-MASKκ° λ€μ€ κ°μ²΄μ μ νν μ λλ©μ΄μ
μ κ°λ₯νκ² ν©λλ€.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
·3033 words·15 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Nanjing University
STAR: T2V λͺ¨λΈ κΈ°λ° μ€μΈκ³ λΉλμ€ μ΄κ³ ν΄μλ κΈ°μ λ‘ νμ€μ μΈ κ³΅κ°μ μΈλΆ μ 보μ κ²¬κ³ ν μκ°μ μΌκ΄μ±μ λ¬μ±!
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking
·2321 words·11 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Multimedia Laboratory, the Chinese University of Hong Kong
GS-DiT: ν¨μ¨μ μΈ 3D μ μΆμ μΌλ‘ μμ¬ 4D κ°μ°μ€ νλλ₯Ό νμ©, 4D λΉλμ€ μ μ΄ κ°λ₯ν νμ μ λΉλμ€ μμ± λͺ¨λΈ
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
·2099 words·10 mins·
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AI Generated
π€ Daily Papers
Computer Vision
3D Vision
π’ University of Science and Technology of China (USTC)
DepthMasterλ λ¨μΌ λ¨κ³ νμ° λͺ¨λΈμ μ΄μ©, μμ±μ νΉμ§μ νμ©νμ¬ λͺ¨λ
Ένλ¬ κΉμ΄ μΆμ μ μ νλμ μλλ₯Ό νκΈ°μ μΌλ‘ ν₯μμμΌ°μ΅λλ€.
Ingredients: Blending Custom Photos with Video Diffusion Transformers
·2088 words·10 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Kunlun Inc.
κ³ νμ§ λ€μ€ ID λ§μΆ€ν λΉλμ€ μμ±μ μν νμ μ μΈ νλ μμν¬, Ingredients μκ°!
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
·2466 words·12 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Hong Kong University of Science and Technology
VideoAnydoor: μ λ°ν λͺ¨μ
μ μ΄λ₯Ό κ°μΆ κ³ νμ§ μμ κ°μ²΄ μ½μ
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
·3547 words·17 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Action Recognition
π’ Unmanned System Research Institute, Northwestern Polytechnical University
SeFAR: μ νλ λ°μ΄ν°λ‘λ μ λ° λμ μΈμμ μ±λ₯μ νκΈ°μ μΌλ‘ ν₯μμν€λ μλ‘μ΄ μΈλ―Έ-μνΌλ°μ΄μ¦λ νμ΅ νλ μμν¬!
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
·1984 words·10 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Nanyang Technological University
SeedVR: 무νν νμ° νΈλμ€ν¬λ¨Έλ‘ μΌλ°μ μΈ λΉλμ€ λ³΅μ ν₯μ
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
·2873 words·14 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Huazhong University of Science and Technology
κ³ μ°¨μ μ μ¬ κ³΅κ°μμμ μ΅μ ν λλ λ§λ₯Ό ν΄κ²°νλ VA-VAEλ₯Ό ν΅ν΄, κ³ ν΄μλ μ΄λ―Έμ§ μμ±μμ μ΅μ²¨λ¨ μ±λ₯μ λ¬μ±!
Nested Attention: Semantic-aware Attention Values for Concept Personalization
·1325 words·7 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Tel Aviv University
μ€μ²© μ£Όμ λ©μ»€λμ¦μ μ¬μ©νμ¬ ν
μ€νΈ-μ΄λ―Έμ§ λͺ¨λΈμ κ°μΈν μ±λ₯μ ν₯μμν¨ Nested Attention κΈ°λ² μ μ!
MLLM-as-a-Judge for Image Safety without Human Labeling
·5796 words·28 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Meta AI
μΈκ° λΌλ²¨λ§ μμ΄ μ¬μ μ μλ μμ κ·μΉμ μ¬μ©νμ¬ μ¬μ νλ ¨λ λ€μ€ λͺ¨λ¬ λν μΈμ΄ λͺ¨λΈ(MLLM)μ ν΅ν΄ μ΄λ―Έμ§ μμ μ±μ νλ¨νλ μλ‘μ΄ μ λ‘μ· λ°©λ²μ μ μν©λλ€.
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control
·2196 words·11 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ ByteDance Inc
VMix: ν¬λ‘μ€ μ΄ν
μ
λ―Ήμ± μ μ΄λ₯Ό ν΅ν ν
μ€νΈ-μ΄λ―Έμ§ νμ° λͺ¨λΈ κ°μ
Slow Perception: Let's Perceive Geometric Figures Step-by-step
·3207 words·16 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Visual Question Answering
π’ Stepfun
λλ¦° μ§κ°(Slow Perception): λ¨κ³λ³ κΈ°ννμ λν μΈμμΌλ‘ μ νλ ν₯μ
LTX-Video: Realtime Video Latent Diffusion
·2625 words·13 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Video Understanding
π’ Lightricks
LTX-Video: μ΄κ³ μ μ€μκ° κ³ ν΄μλ λΉλμ€ μμ± λͺ¨λΈ
Edicho: Consistent Image Editing in the Wild
·2213 words·11 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Hong Kong University of Science and Technology
Edicho: μ΄λ―Έμ§ κ° μΌκ΄μ± μ μ§νλ©° μ λ‘μ· μ΄λ―Έμ§ νΈμ§ κ°λ₯!
Bringing Objects to Life: 4D generation from 3D objects
·2224 words·11 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ NVIDIA
3to4D: ν
μ€νΈ ν둬ννΈλ‘ μ¬μ©μ μ 곡 3D κ°μ²΄λ₯Ό μ€κ°λκ² μ λλ©μ΄μ
ν!
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
·4972 words·24 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Visual Question Answering
π’ Chinese University of Hong Kong, Shenzhen
μλ£ μμμ λν λ€μ€ λͺ¨λ κ±°λ μΈμ΄ λͺ¨λΈμ μΌλ°ν λ₯λ ₯ ν₯μμ ꡬμ±μ μΌλ°ν(CG)κ° ν΅μ¬ μν μ μννλ©°, μ νλ λ°μ΄ν°μμλ ν¨κ³Όμ μμ λ°ν.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
·3812 words·18 mins·
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AI Generated
π€ Daily Papers
Computer Vision
Image Generation
π’ Tencent AI Lab
VideoMaker: μμ νμ° λͺ¨λΈμ κ³ μ ν νμ μ΄μ©ν μ λ‘μ· λ§μΆ€ν μμ μμ±
PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models
·2572 words·13 mins·
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AI Generated
π€ Daily Papers
Computer Vision
3D Vision
π’ Meta AI
PartGen: λ€μ€ λ·° νμ° λͺ¨λΈμ μ΄μ©, ν
μ€νΈ, μ΄λ―Έμ§, κΈ°μ‘΄ 3D κ°μ²΄λ‘λΆν° μλ―Έμλ λΆλΆμΌλ‘ ꡬμ±λ κ³ νμ§ 3D κ°μ²΄ μμ± λ° μ¬κ΅¬μ±.